This course builds a house price prediction model using core ML and MLOps principles. Learn data analysis, feature engineering, and model implementation with rigorous testing and scalable code. The project integrates ZenML & MLflow for experiment tracking and deployment.

This video provides a step-by-step machine learning project walkthrough. It uses a Kaggle dataset to predict customer churn in a telecom company. The tutorial covers data preprocessing, model selection, and performance evaluation using tree-based models.

This tutorial demonstrates an advanced machine learning project predicting diabetes using Python. The process involves exploratory data analysis, data preprocessing techniques, and model building. Several machine learning models are compared for predictive accuracy.